Методи машинного навчання

Introduction to Machine Learning with Python

This repository holds my practice code from the book "Introduction to Machine Learning with Python" by Andreas Mueller and Sarah Guido. You can find details about the book on the O'Reilly website.

Setup

To run the code, you need the packages numpy, scipy, scikit-learn, matplotlib, pandas and pillow. Some of the visualizations of decision trees and neural networks structures also require graphviz. The chapter on text processing also requires nltk and spacy.

The easiest way to set up an environment is by installing Anaconda.

Files

01-08 - source code files from official repository https://github.com/amueller/introduction_to_ml_with_python by authors of book

Chapter1, Chapter2 - my code of material studied